| 注册
首页|期刊导航|中国康复理论与实践|老年心脏病患者认知障碍风险列线图预测模型构建

老年心脏病患者认知障碍风险列线图预测模型构建

王晓蕾 赵晓晴 陈澍盈 张明皓 周笑昱 李海燕 张建华 井淇 董志伟

中国康复理论与实践2026,Vol.32Issue(9):993-1002,10.
✕
中国康复理论与实践2026,Vol.32Issue(9):993-1002,10.DOI:10.3969/j.issn.1006-9771.2026.09.001

老年心脏病患者认知障碍风险列线图预测模型构建

Development of a nomogram for predicting cognitive impairment risk among older adults with heart disease

王晓蕾 1赵晓晴 2陈澍盈 2张明皓 1周笑昱 2李海燕 1张建华 2井淇 1董志伟1

作者信息

  • 1. 山东第二医科大学管理学院,山东 潍坊市 261053
  • 2. 山东第二医科大学公共卫生学院,山东 潍坊市 261053
  • 折叠

摘要

Abstract

Objective To develop and validate a nomogram for predicting the risk of concurrent cognitive impairment in older adults with heart disease. Methods Self-reported data from 2 673 respondents in the 2020 China Health and Retirement Longitudinal Study were analyzed.The participants were randomly divided into a training set(n=1 871)and a validation set(n=802).Heart disease status was determined using a self-report questionnaire.Logistic regression analysis was performed to identify predictors,and a nomogram for predicting the risk of concurrent cognitive impairment in older adults with heart disease was developed using R software.Bootstrap resampling was used for internal validation,and model performance was further evaluated in the randomly split validation set.The predictive performance of the model was assessed using the area under the receiver operating characteristic curve(AUC)and calibration curves.. Results A total of 2 673 older adults with heart disease were included,out of whom 315 participants in the training set had cognitive impairment.Lasso regression analysis identified age,education level,place of residence,instru-mental activities of daily living and depression as predictors of concurrent cognitive impairment.A prediction model incorporating these five variables was constructed.The AUC were 0.827(95%CI 0.804 to 0.850)in the training set and 0.847(95%CI 0.812 to 0.882)in the validation set.The Hosmer-Lemeshow test yielded P=0.154 and P=0.716 in the training and validation sets,respectively.Calibration curves showed good agreement between predicted and observed probabilities.Decision curve analysis indicated that the model provided favor-able net benefit and predictive performance. Conclusion The nomogram may provide a useful reference for risk screening and early intervention for cognitive impair-ment in older adults with heart disease.

关键词

老年人/心脏病/认知障碍/抑郁/列线图/预测模型

Key words

older adults/heart disease/cognitive impairment/depression/nomogram/predictive model

分类

医药卫生

引用本文复制引用

王晓蕾,赵晓晴,陈澍盈,张明皓,周笑昱,李海燕,张建华,井淇,董志伟..老年心脏病患者认知障碍风险列线图预测模型构建[J].中国康复理论与实践,2026,32(9):993-1002,10.

基金项目

1.国家自然科学基金面上项目(No.72374156) (No.72374156)

2.国家自然科学基金青年科学基金项目(No.72004165) (No.72004165)

3.山东省高等学校"青创团队计划"团队研究课题(No.2022RW075) Supported by National Natural Science Foundation of China(General)(No.72374156),National Natural Science Foundation of China(Youth)(No.72004165)and Shandong Province Higher Education Institutions"Youth Creative Team Program"Team Research Project(No.2022RW075) (No.2022RW075)

中国康复理论与实践

1006-9771

访问量0
|
下载量0
段落导航相关论文